Synopsis: Chemical Conversations Lead to Particle Cliques

When particles such as cells or a biological molecules leave chemical trails, a variety of clustering behaviors result, according to simulations.
Synopsis figure
J. Agudo-Canalejo and R. Golestanian, Phys. Rev. Lett. (2019)

Some bacterial cells secrete chemicals that influence both their motion and that of neighboring cells. Similarly, inside a cell, an enzyme can catalyze a reaction and “emit” products, which can influence neighboring molecules. New simulations reveal the variety of structures that can form—such as autonomously swimming clusters—as cells or molecules that influence each other move around and reorganize.

Peculiar behaviors can arise when particles that produce or consume chemicals interact with one another. For example, one particle might back away from a second particle, while the second particle tries to cozy up to the first, leading to a chase. This asymmetry in particle interactions appears to break Newton’s third law of motion, which states that every action has an equal and opposite reaction. Jaime Agudo-Canalejo of the University of Oxford and Ramin Golestanian at the Max Plank Institute for Dynamics and Self-Organization in Germany set out to study these behaviors by simulating how mixtures of such chemically interacting particles move about. Depending on the ratio of producers to consumers as well as each particle’s characteristics—such as how much of a chemical they make or use—the researchers observed a dizzying array of phenomena.

In some cases, the particles bonded in molecule-like chains (see video). In others, the producers and consumers separated into tight-knit cliques (see video). Occasionally a mob of consumers chased a horde of producers across the virtual landscape (see video). In another example, corresponding to the parameters expected for enzymes, the duo observed the formation of “optimal” clusters in which the products of one particle were passed on to the next with zero waste.

The researchers say that all these clustering and chasing behaviors are part of a new class of so-called active phase separation, which arises from particles responding to changing chemical imbalances rather than to some time-invariant self-propulsion mechanism, as is more commonly studied.

This research is published in Physical Review Letters.

–Christopher Crockett

Christopher Crockett is a freelance writer based in Arlington, Virginia.


Features

More Features »

Announcements

More Announcements »

Subject Areas

Soft MatterBiological Physics

Previous Synopsis

Next Synopsis

Related Articles

Synopsis: Neural Networks Know Their Knots
Soft Matter

Synopsis: Neural Networks Know Their Knots

Neural networks correctly classify different types of knot, a problem that has stumped physicists and mathematicians. Read More »

Finding a “Functional” Cure for HIV
Biological Physics

Finding a “Functional” Cure for HIV

A mathematical model could allow researchers to predict if and when the HIV virus will rebound after antiretroviral therapies stop. Read More »

Focus: Explaining the Ruffles of Lotus Leaves
Biological Physics

Focus: Explaining the Ruffles of Lotus Leaves

A new theory accurately predicts a wide range of leaf shapes and explains the differences between dry lotus leaves and those that grow on water. Read More »

More Articles